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Data Scientist - Professional Markets Manager - Jersey City, NJ

Jersey City, New Jersey

Job Description:

Responsible for developing, modifying and/or maintaining applications in the Global Markets environment. Software developers design, code, test, debug and document programs as well as maintain corporate systems architecture. Employees work closely with business partners in defining requirements for system applications. Employees typically have in-depth knowledge of development tools and languages. Employees are expected to have in-depth global markets product knowledge, and manage a high level of risk. Is clearly recognized as a content expert by peers. Coordinates resources across various applications, operations or projects. Manages employees and makes all decisions on personnel actions including staffing, performance management and comp decision-making. Monitors progress and adjusts resources and priorities accordingly. Typically requires 10+ years of applicable experience. This job code is only to be used for employees supporting Global Markets.

Enterprise Risk Finance Technology (ERFT):

  • Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
  • Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
  • Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
  • Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
  • Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
  • Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital.

Role Overview:

Enterprise Capital Management and Forecasting Technology team is looking for a hands-on Senior Data Scientist to undertake multiple advanced analytics initiatives and work across Treasury business partners to identify and implement data mining and advanced analytical techniques to produce easy to use analytical solutions.

Enterprise Capital Management and Forecasting Technology supports many key business such as Capital Management, Liquidity Forecasting for resolution planning, Funds Transfer Pricing, End to End forecasting and Stress Testing etc. The candidate would be required to work across these business leads across these LOB’s and suggest optimization use cases. The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations for the Treasury Team.

Required Skills:

  • 2 - 5 years of professional experience as a data scientist executing complex analytical projects with overall 8-12 years of work experience in Technology
  • 2 + years of experience in text analytics, text mining and NLP
  • Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas
  • Knowledge of Big Data Architectures and Cloud computing
  • Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus
  • Experience with data visualization tools like Tableau, Kibana
  • Knowledge of machine-learning techniques, classifiers and statistical methods
  • Hands-on experience with natural language processing techniques including Sentiment analysis, Word embedding
  • Experience with Speech-to-Text is a plus
  • BS/MS in Computer Science, Engineering, or any quantitative discipline
  • Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline
  • Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk
  • Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners
  • Desire to use modern technologies within the Finance domain


1st shift (United States of America)

Hours Per Week: 


Learn more about this role

Full time


Manages People: Yes

Travel: Yes, 10% of the time


Talent Acquisition Contact:

Referral Bonus:

Street Address

Primary Location:
101 HUDSON ST, NJ, Jersey City, 07302